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All Journal International Archives of Medical Sciences and Public Health
Emi Latifah
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Religion Environmental Science Health Professions Medicine & Pharmacology Public Health

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FACTORS ASSOCIATED WITH WORK-RELATED STRESS AMONG HEALTH WORKERS AT COMMUNITY HEALTH CENTERS IN BREBES REGENCY: A CROSS-SECTIONAL STUDY Emi Latifah; Zahroh Shaluhiyah; Cahya Tri Purnami
International Archives of Medical Sciences and Public Health Vol. 7 No. 1 (2026): International Archives of Medical Sciences and Public Health
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/iamsph.v7i1.1552

Abstract

Work-related stress is an important occupational health concern among healthcare workers. This study examined associations between work-load, time pressure, roles and responsibilities, organizational support, work-life balance, family support, and work-related stress among 151 health workers at four community health centers in Brebes Regency, Indonesia. A quantitative cross-sectional study used a structured questionnaire and chi-square tests, followed by backward multiple logistic regression. Overall, 41.1% of respondents were classified as having moderate-to-high work-related stress. Bivariate associations were observed for workload, time pressure, roles and responsibilities, organizational support, and family support; the work-life-balance result was not statistically significant after correction of an internally inconsistent p-value. In the reported multivariable model, organizational support showed an inverse association with higher work-related stress (adjusted OR 0.140, 95% CI 0.025–0.795; p=0.026). The reported roles-and-responsibilities estimate was statistically significant but imprecise, and the workload estimate showed evidence of separation. Therefore, unstable odds ratios are not interpreted as definitive effect sizes. The findings represent associations rather than causal effects and should be confirmed using the original individual-level data with appropriate separation di-agnostics and penalized or exact logistic regression.
Co-Authors Cahya Tri Purnami Zahroh Shaluhiyah